• Dr LI Shoushan (PhD, BS)

    • Daily Used Post Title

      Postdoctoral Fellow
    • Areas of Scholarship

      Computational linguistics, machine learning, text categorization, sentiment classification, Chinese word segmentation.
    • Education

      2008 Doctor of Philosophy: Pattern Recognition and Intelligent System, Institute of Automation, Chinese Academy of Sciences (CASIA)
      2003 Bachelor of Science: Computer Science and Technology, Xidian University
    • Work Experience

      2008.9-present Postdoctoral fellow, CBS, The Hong Kong Polytechnic University
    • Research Output

      • Shoushan Li and Chengqing Zong. Multi-domain Adaptation for Sentiment Classification: Using Multiple Classifier Combining Methods. In Proceedings of the IEEE Conference on Natural Language Processing and Knowledge Engineering (NLP-KE 08), October 19-22, 2008. Beijing, China.
      • Jiajun Zhang, Chengqing Zong, and Shoushan Li. Sentence Type Based Reordering Model for Statistical Machine Translation. In Proceedings of the 22nd International Conference on Computational Linguistics (COLING 08), August 18-22, 2008. Manchester, UK. Pages 1089-1096
      •  Shoushan Li and Chengqing Zong. Multi-domain Sentiment Classification (short paper). In Proceedings of the 46th Annual Meeting of the Association for Computational Linguistics: Human Language Technology (ACL-08: HLT), Short Papers (Companion Volume). Columbus, Ohio, USA. June 15-20, 2008. Pages 257-260
      •  Shoushan Li, Chengqing Zong, and Xia Wang. Sentiment Classification through Combining Classifiers with Multiple Feature Sets. In Proceedings of IEEE International Conference on Natural Language Processing and Knowledge Engineering (NLP-KE 07), August 30-Sept. 1, 2007, Beijing.
      •  Shoushan Li and Chengqing Zong. Classifier Combining Rules Under Independence Assumptions. In Proceedings of the 7th International Workshop on Multiple Classifier Systems (MCS 07), Prague, Czech Republic, May 23-25, 2007. Pages 322-332.
      • Shoushan Li and Chengqing Zong. A New Approach to Feature Selection for Text Categorization. In Proceedings of the IEEE International Conference on Natural Language Processing and Knowledge Engineering (NLP-KE 05). October 30th - November 1st, 2005. Wuhan, China. Pages 626-630.